Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use PracticalWork/ModernBERT-large-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PracticalWork/ModernBERT-large-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PracticalWork/ModernBERT-large-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PracticalWork/ModernBERT-large-classifier") model = AutoModelForSequenceClassification.from_pretrained("PracticalWork/ModernBERT-large-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0241a236b5d90e9b0cf966f780121ad81de774d3d99efdfc73426b525431c44a
- Size of remote file:
- 1.58 GB
- SHA256:
- fc9fee581e76b6f2919b80f8a237eeb4430d099e6e5f23ba01deac9771c4db01
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